
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))


# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "54"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder


# Use environment variables to figure out path to the csvs and auto_metrics
antenna = os.environ["ANTENNA"]
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "144"
csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"


display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))


import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna


# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, '*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 92 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_
Found 88 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect


# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'


this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        antnum = row['Ant']
        if antnum != int(antenna):
            continue
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break


# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])


display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))


html_to_display = ''
for am_html in auto_metric_htmls:
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line: 
            break


HTML(html_to_display)

JDs	A Priori Status	Auto Metrics Flags	Dead Fraction in Ant Metrics (Jee)	Dead Fraction in Ant Metrics (Jnn)	Crossed Fraction in Ant Metrics	Flag Fraction Before Redcal	Flagged By Redcal chi^2 Fraction	ee Shape Modified Z-Score	nn Shape Modified Z-Score	ee Power Modified Z-Score	nn Power Modified Z-Score	ee Temporal Variability Modified Z-Score	nn Temporal Variability Modified Z-Score	ee Temporal Discontinuties Modified Z-Score	nn Temporal Discontinuties Modified Z-Score	Average Dead Ant Metric (Jee)	Average Dead Ant Metric (Jnn)	Average Crossed Ant Metric	Median chi^2 Per Antenna (Jee)	Median chi^2 Per Antenna (Jnn)
2459594	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.359545	0.279267	-0.083227	20.841862	-1.193267	18.060221	-0.096582	24.889146	0.8064	0.8153	0.2344	14.019743	16.912244
2459593	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.637112	-0.180281	-0.059890	8.485024	-0.011597	3.140917	2.659110	2.151650	0.7460	0.7474	0.2478	6.515757	6.712771
2459592	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	-0.096064	-1.184882	-0.468467	-0.070195	-0.001533	-0.999756	1.381383	-0.060841	0.0315	0.0311	0.0008	nan	nan
2459591	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.217395	-0.576569	0.210770	3.284115	-0.865646	3.639909	-0.012626	0.390486	0.6918	0.7049	0.3634	7.532476	6.772789
2459590	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.949958	-1.273406	0.117750	-0.687291	-1.173440	-0.224614	-0.613685	-0.700228	0.6935	0.7025	0.3568	9.067799	8.313428
2459589	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.104371	-1.003819	-0.147860	-0.865567	-0.758599	21.408356	-0.135283	1.702941	0.7353	0.7292	0.2778	8.395519	8.568803
2459588	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.503216	-1.074737	0.089462	3.861354	-0.469149	0.164492	0.343522	0.587485	0.7893	0.7708	0.2257	12.730008	11.171896
2459587	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	-0.734740	-1.246608	0.819764	6.741769	-0.745925	4.980495	2.405368	0.236964	nan	nan	nan	7.723702	7.526349
2459586	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.493239	-1.487265	-0.888729	-0.675192	-1.216736	1.085481	0.097566	-0.094183	0.6840	0.6955	0.3517	6.626937	6.251724
2459585	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.381086	-0.734490	-0.594739	-0.411776	-0.681417	4.116726	1.554266	8.634148	0.0337	0.0327	0.0007	0.000000	0.000000
2459584	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.255177	0.042111	-1.225608	12.454830	-0.881866	18.071393	-0.666330	-0.410020	0.6346	0.6449	0.3599	3.834452	3.361509
2459583	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.834093	0.106760	-1.023346	5.327248	-1.232641	1.648874	-0.810386	5.185775	0.6974	0.7053	0.3731	0.000000	0.000000
2459582	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.661613	0.327109	-0.664795	4.828540	-1.347683	2.694392	-0.836143	9.717403	0.6966	0.7054	0.3763	5.738484	6.121149
2459581	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.898749	0.985474	-0.892414	5.712402	-1.064325	3.259026	-0.556789	10.861877	0.7010	0.7088	0.3720	4.922748	3.939431
2459580	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.390418	0.567993	-0.634160	5.819982	-1.530069	3.619197	-0.704548	19.268488	0.6972	0.7051	0.3712	0.000000	0.000000
2459579	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.660942	0.734671	-0.638778	6.771113	-1.294841	3.166560	-0.454599	1.315241	0.6922	0.7007	0.3766	5.367450	5.139078
2459578	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	-0.485890	2.056944	-0.848900	3.031089	-0.424936	7.002217	0.158607	29.685283	0.0341	0.0351	0.0007	nan	nan
2459577	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.601147	0.799264	-0.981104	5.012526	-0.968092	3.867321	-0.567119	-0.253390	0.6945	0.7012	0.3781	6.104398	5.465215
2459576	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.851194	-0.092172	-0.709113	2.767630	-0.258378	2.165708	0.313924	-0.605198	0.7177	0.7262	0.3729	7.384126	7.050009
2459575	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.237310	-1.042259	-0.875366	2.269299	-1.332755	2.648349	-0.918585	1.813876	0.7754	0.7740	0.3197	5.029814	4.664129
2459574	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.240423	-0.453733	-0.783081	2.212320	-0.368493	2.499365	-0.187039	-0.399112	0.7167	0.7264	0.3655	6.681921	6.955628
2459573	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.321824	0.572076	-0.963020	2.831706	-1.161484	60.644246	-0.770489	12.132236	0.7137	0.7157	0.3698	7.664980	5.297248
2459572	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.507688	0.670294	-0.865096	2.739309	-0.811982	2.486178	-0.188843	-1.046621	0.7129	0.7150	0.3737	5.018585	4.761106
2459571	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	-0.245731	1.491086	-0.781518	1.845908	-0.523715	39.268502	0.014884	-0.038931	0.0349	0.0355	0.0010	nan	nan
2459570	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459569	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.497300	0.382878	-0.789657	4.349748	-1.022686	3.800700	-0.596143	3.607018	0.7912	0.7868	0.2288	6.181479	4.976629
2459566	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.426291	-1.263656	-0.803957	1.870413	-1.237866	0.287695	1.583461	4.718351	0.7018	0.7109	0.3917	7.136295	6.646949
2459565	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	-0.219847	-0.219847	-0.209612	-0.209612	0.543918	0.543918	0.058520	0.058520	nan	nan	nan	0.000000	0.000000
2459564	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.087652	-0.913979	-0.659568	-1.324667	0.170702	0.673240	1.895825	2.801023	0.7259	0.7247	0.3840	6.133137	5.335127
2459563	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.662710	-1.485667	-0.982194	-0.194495	-1.364602	-1.104597	-0.382549	0.261135	0.7195	0.7234	0.3773	5.074911	4.651958
2459562	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.037493	-0.973206	-0.242902	-1.718354	0.282781	-1.398638	0.080897	2.119217	0.7249	0.7280	0.3696	4.038424	3.429482
2459561	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.907163	-0.617237	-0.282419	-1.490955	0.117074	-0.848630	-0.295855	2.219978	0.7227	0.7282	0.3693	3.597619	3.178051
2459560	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459559	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.227923	-1.005345	-0.342294	-1.785528	0.570521	-0.404122	0.256963	0.566482	0.7199	0.7210	0.3744	3.326050	2.883933
2459558	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.554868	-0.603369	-0.746597	1.554161	-1.385926	0.328196	-0.265094	0.949877	0.7231	0.7217	0.3792	4.595689	4.025678
2459557	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0334	0.0322	0.0008	nan	nan
2459556	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.785363	-0.513339	-0.763527	2.041004	-0.876272	-0.218665	-1.031180	-1.621329	0.7205	0.7208	0.3789	4.345263	3.662187
2459554	RF_maintenance	-	0.00%	0.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.7239	0.7237	0.3847	nan	nan
2459553	RF_maintenance	-	0.00%	0.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.7219	0.7200	0.3842	nan	nan
2459552	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459551	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.995008	-0.703976	-0.317629	-2.481102	0.181972	-1.888566	1.266470	-0.331507	0.7199	0.7196	0.3838	3.803757	3.126581
2459550	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0333	0.0327	0.0005	nan	nan
2459549	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.188863	0.210071	-1.002273	2.895754	-1.065911	0.153999	1.516226	0.440406	0.7197	0.7201	0.3877	4.545802	3.707266
2459542	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.705742	0.917818	-0.649043	4.718748	-0.700670	3.394205	0.604287	0.216147	0.7724	0.7677	0.3391	4.090922	3.272660
2459541	RF_maintenance	100.00%	1.79%	1.79%	0.00%	100.00%	0.00%	-0.728114	1.970038	-0.807991	7.149276	0.293737	5.777214	0.561251	2.167831	0.7616	0.7499	0.3162	5.183154	4.301697
2459540	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.022154	-1.834884	-0.370824	-1.438969	-0.831634	-2.214942	0.318712	-0.511047	0.7741	0.7715	0.3269	3.985964	3.334640
2459536	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.834148	0.392665	-0.960716	8.514071	0.265968	5.991877	4.114504	2.244315	0.7535	0.7520	0.3957	6.415455	4.274532
2459535	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.709654	-1.656347	-0.254580	-1.335231	-0.417019	-1.317256	0.752985	0.238298	0.8049	0.7934	0.3366	4.400341	3.477262
2459534	RF_maintenance	100.00%	98.66%	98.66%	0.00%	100.00%	0.00%	1.995141	1.816420	-0.891804	-1.847823	2.399008	4.336236	9.215517	9.227165	0.0649	0.0835	0.0128	1.190394	1.193020
2459533	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.309763	-0.421383	-0.804107	4.465177	-0.789616	1.541032	-0.697876	-0.765643	0.7471	0.7503	0.3802	4.909438	3.598477
2459532	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.513809	-0.395291	-0.981045	5.750109	-1.067559	2.738317	-0.853474	-1.048502	0.7477	0.7504	0.3795	5.785707	4.170380
2459530	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.920399	-2.088113	-0.245025	-1.933064	0.092133	-1.936210	0.155284	0.884092	0.7656	0.7613	0.3737	5.226323	4.448730
2459527	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459524	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.144309	0.400351	-1.013376	4.745736	-0.476406	8.542094	0.478921	1.250040	0.9195	0.9454	0.2593	0.000000	0.000000
2459523	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	-1.406626	-0.350141	-0.874308	7.046213	-0.514305	5.561712	-0.140198	-1.782373	nan	nan	nan	7.147662	5.676337
2459522	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.801332	-0.028469	-0.967231	6.325295	-0.940261	3.980770	0.570455	1.028463	0.7297	0.7322	0.3073	8.920713	6.642954
2459513	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	-0.194561	1.864176	-0.883888	1.636732	1.615805	1.199473	0.315515	-0.301806	0.0352	0.0336	0.0009	nan	nan
2459508	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.542083	-0.930722	-1.096335	1.534281	-1.431392	0.857779	-1.040306	1.504979	0.9318	0.9564	0.1457	0.000000	0.000000
2459505	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-1.225427	-0.828889	-0.547713	2.897955	-0.870717	-1.119860	-0.454526	-0.679355	0.1038	0.1241	0.0064	1.242276	1.252185
2459503	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.288732	-0.991721	-0.923447	1.485972	-1.241999	2.574743	-0.367513	-0.384085	0.8926	0.8860	0.4044	0.000000	0.000000
2459501	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-1.413042	-1.595987	-0.450776	1.279694	-1.038537	3.352760	-0.735972	-0.915177	0.1864	0.2021	0.0351	0.000000	0.000000
2459500	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-1.663161	-1.735545	-1.166041	0.171038	-1.130339	0.877220	-0.350268	-0.748019	0.1917	0.2159	0.0370	0.000000	0.000000
2459499	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-1.829133	-1.671339	-1.323684	0.348281	-1.216965	0.582799	-0.362099	-0.884920	0.1862	0.2106	0.0202	0.000000	0.000000
2459498	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-1.447715	-0.928609	-0.665280	0.904883	-0.703682	1.115099	-0.033930	-0.797614	0.1968	0.2118	0.0428	0.000000	0.000000
2459497	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-1.396933	1.184083	-0.354037	2.715718	-0.762736	4.533564	-0.517999	-0.746209	0.1988	0.2657	0.0378	0.000000	0.000000
2459496	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-2.191598	3.382348	-0.687439	4.074774	-1.247650	6.363992	-0.201424	-0.716533	0.9329	0.9348	0.3523	0.000000	0.000000
2459495	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.549032	2.898114	-0.912494	3.760878	-1.391943	5.460233	-0.394325	-0.773176	0.9305	0.9301	0.3868	0.000000	0.000000
2459494	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.752965	2.898856	-1.114133	3.874917	-1.430040	5.978780	-0.396945	-1.048838	0.9215	0.9222	0.4011	0.000000	0.000000
2459492	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.920708	1.182355	-0.363744	7.360465	-0.408759	6.922456	-0.433220	-1.974727	0.7663	0.8112	0.3269	0.000000	0.000000
2459491	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-2.160329	1.902637	-0.420530	7.562897	-0.488381	10.830668	-0.282581	1.493856	0.8013	0.8225	0.2656	0.000000	0.000000
2459490	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.513760	1.077059	-0.664015	7.865788	-0.335861	5.505898	-0.144507	-0.899220	0.7546	0.8036	0.3684	0.000000	0.000000
2459489	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.457787	-1.212841	-0.625538	3.639592	-0.543308	3.118893	-0.796938	-0.644706	0.7715	0.8112	0.3217	0.000000	0.000000
2459488	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.560072	-0.578416	-0.665557	5.525979	-0.702653	3.259936	-0.069781	-1.365362	0.7737	0.8142	0.3531	0.000000	0.000000

Antenna Season Report Notebook¶

Antenna 144 Report

Load relevant info from summary CSVs¶

Table 1: Per-Night RTP Summary Info For This Atenna¶

Antenna 144, Node 14:

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

Antenna 144: 2459616

Antenna 144: 2459615

Antenna 144: 2459614

Antenna 144: 2459613

Antenna 144: 2459612

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Antenna 144: 2459609

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Antenna 144: 2459527

Antenna 144: 2459524

Antenna 144: 2459523

Antenna 144: 2459522

Antenna 144: 2459513

Antenna 144: 2459508

Antenna 144: 2459506

Load antenna metric spectra and waterfalls from `auto_metrics` notebooks.¶